Search Results for "the-chief-data-officer-handbook-for-data-governance"

The Chief Data Officer Handbook for Data Governance

The Chief Data Officer Handbook for Data Governance

  • Author: Sunil Soares
  • Publisher: MC Press
  • ISBN: 9781583474174
  • Category: Computers
  • Page: 80
  • View: 2164
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A practical guide for today's chief data officers to define and manage data governance programs The relatively new role of chief data officer (CDO) has been created to address the issue of managing a company's data as a strategic asset, but the problem is that there is no universally accepted "playbook" for this role. Magnifying the challenge is the rapidly increasing volume and complexity of data, as well as regulatory compliance as it relates to data. In this book, Sunil Soares provides a practical guide for today's chief data officers to manage data as an asset while delivering the trusted data required to power business initiatives, from the tactical to the transformative. The guide describes the relationship between the CDO and the data governance team, whose task is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. Soares provides unique insight into the role of the CDO and presents a blueprint for implementing data governance successfully within the context of the position. With practical advice CDOs need, this book helps establish new data governance practices or mature existing practices.

The Chief Data Officer's Playbook

The Chief Data Officer's Playbook

  • Author: Caroline Carruthers,Peter Jackson
  • Publisher: Facet Publishing
  • ISBN: 1783302577
  • Category: Business & Economics
  • Page: 208
  • View: 3365
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The new and rapidly expanding role of the Chief Data Officer (CDO) is of significant interest and relevance to organisations and data professionals internationally. Written by two practicing CDOs, this new book offers a jargon-free, practical guide to making better decisions based on data. Content covered includes: - why does any organisation need a CDO? - the secret ingredients of the successful CDO - avoiding the hype cycle - building the CDO team - who leads the technology? - the CDO and data governance: enablement not red tape. This book will offer key insights for CDOs looking to understand their position better, for aspiring CDOs and data officers looking at career progression, for those recruiting CDOs, and offers essential knowledge for anyone else operating in the current data environment.

Data Integrity and Data Governance

Data Integrity and Data Governance

Practical Implementation in Regulated Laboratories

  • Author: R. D. McDowall
  • Publisher: Royal Society of Chemistry
  • ISBN: 178801281X
  • Category: Science
  • Page: 598
  • View: 5140
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Data integrity is the hottest topic in the pharmaceutical industry. Global regulatory agencies have issued guidance, after guidance after guidance in the past few years, most of which does not offer practical advice on how to implement policies, procedures and processes to ensure integrity. These guidances state what but not how. Additionally, key stages of analysis that impact data integrity are omitted entirely. The aim of this book is to provide practical and detailed help on how to implement data integrity and data governance for regulated analytical laboratories working in or for the pharmaceutical industry. It provides clarification of the regulatory issues and trends, and gives practical methods for meeting regulatory requirements and guidance. Using a data integrity model as a basis, the principles of data integrity and data governance are expanded into practical steps for regulated laboratories to implement. The author uses case study examples to illustrate his points and provides instructions for applying the principles of data integrity and data governance to individual laboratory needs. This book is a useful reference for analytical chemists and scientists, management and senior management working in regulated laboratories requiring either an understanding about data integrity or help in implementing practical solutions. Consultants will also benefit from the practical guidance provided.

Navigating the Labyrinth

Navigating the Labyrinth

An Executive Guide to Data Management

  • Author: Laura Sebastian-Coleman
  • Publisher: Technics Publications
  • ISBN: 1634623770
  • Category: Computers
  • Page: 208
  • View: 9659
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An Executive Guide to Data Management

Aligning Business Strategies and Analytics

Aligning Business Strategies and Analytics

Bridging Between Theory and Practice

  • Author: Murugan Anandarajan,Teresa D. Harrison
  • Publisher: Springer
  • ISBN: 3319932993
  • Category: Business & Economics
  • Page: 211
  • View: 3857
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This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.

Handbook of Financial Data and Risk Information II

Handbook of Financial Data and Risk Information II

  • Author: Margarita S. Brose,Mark D. Flood,Dilip Krishna,Bill Nichols
  • Publisher: Cambridge University Press
  • ISBN: 1107012023
  • Category: Business & Economics
  • Page: 574
  • View: 7894
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A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques

  • Author: Segall, Richard S.,Cook, Jeffrey S.
  • Publisher: IGI Global
  • ISBN: 1522531432
  • Category: Computers
  • Page: 917
  • View: 1259
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The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Handbook of Data Quality

Handbook of Data Quality

Research and Practice

  • Author: Shazia Sadiq
  • Publisher: Springer Science & Business Media
  • ISBN: 3642362575
  • Category: Computers
  • Page: 438
  • View: 1411
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The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.

Master Competitive Analytics with Oracle Endeca Information Discovery

Master Competitive Analytics with Oracle Endeca Information Discovery

  • Author: Helen Sun,William Smith
  • Publisher: McGraw Hill Professional
  • ISBN: 0071833196
  • Category: Computers
  • Page: 256
  • View: 2400
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Oracle Endeca Information Discovery Best Practices Maximize the powerful capabilities of this self-service enterprise data discovery platform. Master Competitive Analytics with Oracle Endeca Information Discovery reveals how to unlock insights from any type of data, regardless of structure. The first part of the book is a complete technical guide to the product's architecture, components, and implementation. The second part presents a comprehensive collection of business analytics use cases in various industries, including financial services, healthcare, research, manufacturing, retail, consumer packaged goods, and public sector. Step-by-step instructions on implementing some of these use cases are included in this Oracle Press book. Install and manage Oracle Endeca Server Design Oracle Endeca Information Discovery Studio visualizations to facilitate user-driven data exploration and discovery Enable enterprise-driven data exploration with Oracle Endeca Information Discovery Integrator Develop and implement a fraud detection and analysis application Build a healthcare correlation application that integrates claims, patient, and operations analysis; partners; clinical research; and remote monitoring Use an enterprise architecture approach to incrementally establish big data and analytical capabilities

Risk Management Handbook for Health Care Organizations

Risk Management Handbook for Health Care Organizations

  • Author: American Society for Healthcare Risk Management (ASHRM)
  • Publisher: John Wiley & Sons
  • ISBN: 0470443715
  • Category: Medical
  • Page: 672
  • View: 5152
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Risk Management Handbook for Health Care Organizations, Student Edition This comprehensive textbook provides a complete introduction to risk management in health care. Risk Management Handbook, Student Edition, covers general risk management techniques; standards of health care risk management administration; federal, state and local laws; and methods for integrating patient safety and enterprise risk management into a comprehensive risk management program. The Student Edition is applicable to all health care settings including acute care hospital to hospice, and long term care. Written for students and those new to the topic, each chapter highlights key points and learning objectives, lists key terms, and offers questions for discussion. An instructor's supplement with cases and other material is also available. American Society for Healthcare Risk Management (ASHRM) is a personal membership group of the American Hospital Association with more than 5,000 members representing health care, insurance, law, and other related professions. ASHRM promotes effective and innovative risk management strategies and professional leadership through education, recognition, advocacy, publications, networking, and interactions with leading health care organizations and government agencies. ASHRM initiatives focus on developing and implementing safe and effective patient care practices, preserving financial resources, and maintaining safe working environments.